After developing what it describes as the world’s largest identity graph of professionals navigating career change, WORK-SELF has officially launched Maya Enterprise, an AI-powered workforce transition platform designed to help organisations manage the human side of AI transformation.
“There is no true transformation ecosystem today — only disconnected point solutions trying to solve isolated parts of a much larger problem,” said David Edwards, author of the Strategic Workforce Planning Handbook. “The organisations that successfully connect those pieces will ultimately lead the market.”
Based in London, WORK-SELF says Maya Enterprise was created to address one of the biggest reasons AI transformation initiatives fail: employee resistance, disengagement, and identity misalignment rather than shortcomings in the technology itself. Industry data suggests that roughly 70% of AI transformation programmes do not achieve their intended outcomes, largely due to workforce-related challenges.
Unlike conventional AI systems trained primarily on synthetic or scraped data, Maya was developed using proprietary data collected through more than 80,000 real-world career conversations with professionals experiencing redundancy, reskilling, burnout, and career reinvention. The platform spent a full year operating directly with individuals before being adapted for enterprise deployment.
Building an Identity Graph Around Workforce Reinvention
WORK-SELF says its strategic decision to begin in the direct-to-consumer market enabled the company to build a unique “identity graph” focused on how employees think, behave, and adapt during periods of professional transition.
The dataset behind Maya includes:
- More than 80,000 career conversations across 20+ industries
- Over 1,000 in-depth career consultations examining values, strengths, motivation, and reinvention goals
- 151 comprehensive “Career Audit” sessions involving extended biometric-aware assessments
- A proprietary identity graph designed to map employee identity, readiness for change, and long-term transition success
According to the company, the system continuously evolves with each interaction, strengthening its predictive and coaching capabilities as adoption grows.
Addressing a Major Gap in Enterprise AI Transformation
WORK-SELF argues that while the global career transition industry exceeds £50 billion annually, most services remain reactive and fragmented. Traditional outplacement firms, coaching providers, and workforce planning platforms often fail to support employees proactively during transformation initiatives.
Its AI Job Disruption Report 2026 highlighted several trends emerging from the company’s data:
- 72% of professionals expect to change jobs or career direction within the next year
- Only 3.8% complete the milestones necessary to successfully execute that change
- Nearly half cite lack of purpose or creative stagnation — rather than compensation — as the primary motivation
- 32% exhibit measurable signs of burnout linked to future career pivots
- Human resistance and identity disruption remain the leading causes of failed AI transformation programmes
The company estimates that replacing employees lost during transformation efforts can cost organisations roughly £50,000 per person, often resulting in workforce disruption costs that exceed the technology investment itself.
How Maya Enterprise Works
Maya Enterprise is designed for executives, HR leaders, and transformation teams overseeing AI adoption, restructuring, or reskilling initiatives. The platform includes three integrated components:
Workforce Reinvention Assessment
Employees complete a structured assessment examining career history, values, strengths, and readiness for transition. Results are anonymised and aggregated for organisational analysis.
Maya AI Workforce Transition Agent
The AI assistant delivers personalised transition guidance around the clock, helping employees build career transition plans, identify redeployment opportunities, and access coaching support where necessary.
Transition Dashboard
Leadership teams receive analytics and reporting on workforce readiness, redeployment fit, attrition risk, and transition outcomes across teams and departments.
“Most organisations understand what their future workflows should look like,” said Wolf Magdelinic, CEO and Co-Founder of WORK-SELF. “What they lack is meaningful intelligence about which employees are likely to adapt successfully and which are at risk of disengagement or attrition. Maya Enterprise was built to provide that missing layer of insight.”
Josh Thompson-Persaud, Co-Founder and Coaching Lead, added that the company’s research revealed identity — rather than skills — as the core obstacle during career transition.
“People often understand that change is necessary,” he said. “What they struggle with is understanding who they are becoming. Maya was designed to help answer that question at both individual and organisational scale.”
Why the Market Is Emerging Now
WORK-SELF believes three major trends are accelerating demand for workforce transition technology:
- AI-driven restructuring is happening faster than organisations can retrain or redeploy employees
- Existing outplacement and coaching markets remain largely reactive and limited in scale
- Generative AI now makes highly personalised career guidance economically scalable for large workforces
Maya Enterprise is available immediately for pilot programmes with organisations undergoing AI transformation, restructuring, or enterprise reskilling initiatives. WORK-SELF says implementations can be operational within 30 days following onboarding, HRIS integration, workforce assessments, and dashboard deployment.
Companies interested in pilot access or the full AI Job Disruption Report 2026 dataset can contact WORK-SELF directly through its website.
Source: press release